AgentSkillsCN

app-store-optimization

完整应用商店优化（ASO）工具集，助您研究、优化并追踪移动应用在 Apple App Store 和 Google Play Store 上的表现。

SKILL.md
--- frontmatter
name: app-store-optimization
description: Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store 
category: Creative & Media
source: antigravity
tags: [claude, ai, template, design, firebase, rag, seo, cro, marketing]
url: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/app-store-optimization

App Store Optimization (ASO) Skill

This comprehensive skill provides complete ASO capabilities for successfully launching and optimizing mobile applications on the Apple App Store and Google Play Store.

Capabilities

Research & Analysis

  • •Keyword Research: Analyze keyword volume, competition, and relevance for app discovery
  • •Competitor Analysis: Deep-dive into top-performing apps in your category
  • •Market Trend Analysis: Identify emerging trends and opportunities in your app category
  • •Review Sentiment Analysis: Extract insights from user reviews to identify strengths and issues
  • •Category Analysis: Evaluate optimal category and subcategory placement strategies

Metadata Optimization

  • •Title Optimization: Create compelling titles with optimal keyword placement (platform-specific character limits)
  • •Description Optimization: Craft both short and full descriptions that convert and rank
  • •Subtitle/Promotional Text: Optimize Apple-specific subtitle (30 chars) and promotional text (170 chars)
  • •Keyword Field: Maximize Apple's 100-character keyword field with strategic selection
  • •Category Selection: Data-driven recommendations for primary and secondary categories
  • •Icon Best Practices: Guidelines for designing high-converting app icons
  • •Screenshot Optimization: Strategies for creating screenshots that drive installs
  • •Preview Video: Best practices for app preview videos
  • •Localization: Multi-language optimization strategies for global reach

Conversion Optimization

  • •A/B Testing Framework: Plan and track metadata experiments for continuous improvement
  • •Visual Asset Testing: Test icons, screenshots, and videos for maximum conversion
  • •Store Listing Optimization: Comprehensive page optimization for impression-to-install conversion
  • •Call-to-Action: Optimize CTAs in descriptions and promotional materials

Rating & Review Management

  • •Review Monitoring: Track and analyze user reviews for actionable insights
  • •Response Strategies: Templates and best practices for responding to reviews
  • •Rating Improvement: Tactical approaches to improve app ratings organically
  • •Issue Identification: Surface common problems and feature requests from reviews

Launch & Update Strategies

  • •Pre-Launch Checklist: Complete validation before submitting to stores
  • •Launch Timing: Optimize release timing for maximum visibility and downloads
  • •Update Cadence: Plan optimal update frequency and feature rollouts
  • •Feature Announcements: Craft "What's New" sections that re-engage users
  • •Seasonal Optimization: Leverage seasonal trends and events

Analytics & Tracking

  • •ASO Score: Calculate overall ASO health score across multiple factors
  • •Keyword Rankings: Track keyword position changes over time
  • •Conversion Metrics: Monitor impression-to-install conversion rates
  • •Download Velocity: Track download trends and momentum
  • •Performance Benchmarking: Compare against category averages and competitors

Platform-Specific Requirements

  • •Apple App Store:
    • •Title: 30 characters
    • •Subtitle: 30 characters
    • •Promotional Text: 170 characters (editable without app update)
    • •Description: 4,000 characters
    • •Keywords: 100 characters (comma-separated, no spaces)
    • •What's New: 4,000 characters
  • •Google Play Store:
    • •Title: 50 characters (formerly 30, increased in 2021)
    • •Short Description: 80 characters
    • •Full Description: 4,000 characters
    • •No separate keyword field (keywords extracted from title and description)

Input Requirements

Keyword Research

json
{
  "app_name": "MyApp",
  "category": "Productivity",
  "target_keywords": ["task manager", "productivity", "todo list"],
  "competitors": ["Todoist", "Any.do", "Microsoft To Do"],
  "language": "en-US"
}

Metadata Optimization

json
{
  "platform": "apple" | "google",
  "app_info": {
    "name": "MyApp",
    "category": "Productivity",
    "target_audience": "Professionals aged 25-45",
    "key_features": ["Task management", "Team collaboration", "AI assistance"],
    "unique_value": "AI-powered task prioritization"
  },
  "current_metadata": {
    "title": "Current Title",
    "subtitle": "Current Subtitle",
    "description": "Current description..."
  },
  "target_keywords": ["productivity", "task manager", "todo"]
}

Review Analysis

json
{
  "app_id": "com.myapp.app",
  "platform": "apple" | "google",
  "date_range": "last_30_days" | "last_90_days" | "all_time",
  "rating_filter": [1, 2, 3, 4, 5],
  "language": "en"
}

ASO Score Calculation

json
{
  "metadata": {
    "title_quality": 0.8,
    "description_quality": 0.7,
    "keyword_density": 0.6
  },
  "ratings": {
    "average_rating": 4.5,
    "total_ratings": 15000
  },
  "conversion": {
    "impression_to_install": 0.05
  },
  "keyword_rankings": {
    "top_10": 5,
    "top_50": 12,
    "top_100": 18
  }
}

Output